Results 121 to 130 of about 67,874 (310)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Dual ${M}$ -Convex Variable Subsets Family and Extremum Analysis for the OPF Problem

IEEE Access, 2018
The optimal power flow (OPF) model is a central optimization problem in power system network. In this paper, we propose a novel approach to solve the OPF problem that has a convex objective function and non-convex feasible domain due to the constraints ...
Liulin Yang, Naishan Hang, Zhi Wei
doaj   +1 more source

ROCCO: a robust method for detection of open chromatin via convex optimization. [PDF]

Bioinformatics, 2023
Hamilton NH, Furey TS.
europepmc   +1 more source

Convex Optimization Via Feedbacks

SIAM Journal on Control and Optimization, 1998
Summary: Three dynamical systems are associated with a problem of convex optimization in a finite-dimensional space. For system trajectories \( x(t) \), the ratios \( x(t)/t \) are, respectively, (i) solution tracking (staying within the solution set \( X^0 \)), (ii) solution abandoning (reaching \( X^0 \) as time \( t \) goes back to the initial ...
openaire   +5 more sources

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Investment Optimization under Constraints [PDF]

We analyze general stochastic optimization financial problems under constraints in a general framework, which includes financial models with some ``imperfection'', such as constrained portfolios, labor income, random endowment and large investor models ...
Long Nguyen-Thanh
core  

Convex optimization for maximizing the degradation efficiency of chloroquine in a flow-by electrochemical reactor. [PDF]

J Solid State Electrochem, 2023
Regalado-Méndez A, Zavaleta-Avendaño J, Peralta-Reyes E, Natividad R.   +3 more
europepmc   +1 more source

Homotopy Methods for Convex Optimization

SIAM Journal on Optimization
28 pages, 8 figures, v2: close to the published ...
Andreas Klingler, Tim Netzer
openaire   +3 more sources

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Immunizing Conic Quadratic Optimization Problems Against Implementation Errors [PDF]

We show that the robust counterpart of a convex quadratic constraint with ellipsoidal implementation error is equivalent to a system of conic quadratic constraints.
Ben-Tal, A., Hertog, D. den
core   +1 more source